Data Warehouse Engineer

Akkodis is seeking a Data Warehouse Engineer to join their team. The role involves providing technical leadership for data warehousing systems, ensuring effective implementation and support, and overseeing data architecture standards. Responsibilities include troubleshooting issues, leading data quality assurance processes, and collaborating with stakeholders to improve data management strategies.

Responsibilities:

• Provides strategy and vision for increasing the value of the data architecture platform and related data warehousing toolsets at Jones Day
• Provides data platform training and mentoring to less experienced staff
• Owns and assist in the resolution of support tickets
• Quickly understands the firm’s business issues and data challenges
• Participates in development and continuous improvement of firm strategies for data asset management and governance, including supporting requirements for security, accuracy, performance, and availability
• Participates in building and maintaining: Data Models, Data Naming Standards, Enterprise Data Dictionary, Data Asset Inventory, and Data/Information Flows
• Communicates with relevant data stakeholders to research and help resolve data anomalies and/or data quality issues
• Assists information workers and development teams with outcome-focused requirements gathering and design of supporting information delivery capabilities. Lead the design, implementation, and continuous delivery of a sophisticated data pipeline supporting applications and reporting
• Contributes on business intelligence projects
• Works with the Firm's administrative and practice communities and development staff to understand the content and database structure of custom and third-party applications; understand when source systems change or are upgraded to assure the data warehouse changes accordingly
• Designs and implements data models to support analytics and reporting initiatives
• Reviews current database architecture and propose solutions to scale processing and reporting functionality
• Prepares requirement analysis and documentation for new data and changes to existing data
• Performs logical and physical design of data warehouse elements
• Performs source to target mapping for data warehouse elements
• Maintains metadata information for data warehouse elements
• Maintains thorough documentation for data models, processes, and any changes made to the data warehouse
• Ensures seamless data flow between various systems and the data warehouse using data integration tools and techniques
• Enhances data analysis capabilities through familiarity with advanced analytics tools and techniques, such as machine learning, AI and GenAI
• Provide back-up support for existing data load processes as well as special processing requirements, including changes to or incorporation of large volumes of data

Requirements:

• Strong enterprise-level production experience in data warehousing environments
• Deep expertise in SQL Server
• Deep expertise in T-SQL
• Deep expertise in Azure Data Factory
• Deep expertise in Azure Databricks
• Proven experience supporting fully implemented production solutions rather than one-off projects or POCs
• Familiarity with SSIS
• Familiarity with SSRS
• Highly technical and hands-on with development and implementation
• Ability to carry out assigned tasks with no direct supervision
• Strong problem-solving skills
• Strong attention to detail
• Ability to consistently establish and socialize architecture recommendations
• Ability to work and communicate with team members
• Ability to lead meetings, work sessions and demos
• Ability to work on multiple tasks in parallel with changing priorities
• Ability to work in a fast-paced, agile and fluid environment
• Ability to monitor data warehouse loads during periods when successful loads are a requirement
• Ability to work weekends, second shift and/or third shift as necessary
• Ability to provide a high level of customer service
• Relational database design and data warehouse design skills
• In-depth knowledge of SQL Server Reporting Services
• In-depth knowledge of Power BI
• In-depth knowledge of Microsoft Fabric
• In-depth knowledge of Azure Databricks and medallion architecture
• In-depth knowledge of Azure Data Factory
• In-depth knowledge of Azure storage accounts
• In-depth knowledge of Azure Dev Ops
• Experience with MS Fabric
• Dimensional modeling
• Familiarity with DAX
• In-depth knowledge of additional data warehousing related Azure resources and toolsets, IaaS concepts, BICEP scripting and SQL PaaS